JPred4: a protein secondary structure prediction server.
JPred4: a protein secondary structure prediction server.
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DOI：
10.1093/nar/gkv332
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发表时间：
2015-07-01
影响因子：
14.9
通讯作者：
Barton GJ
中科院分区：
文献类型：
--
作者：
Drozdetskiy A;Cole C;Procter J;Barton GJ
JPred 4（http：//www.compbio.dundee.ac.uk/jpred4）是流行的JPred蛋白质二级结构预测服务器的最新版本，其通过JNet算法提供预测，JNet算法是二级结构预测的最准确方法之一。除了蛋白质二级结构，JPred还预测溶剂可及性和卷曲螺旋区域。JPred服务每月运行多达94，000个职位，并为179个国家的用户进行了超过150万次预测。JPred 4 Web服务器已在Bootstrap框架和JavaScript中重新实现，以改进其设计、可用性和从移动的设备的可访问性。JPred 4具有更高的准确性，其中盲三态（α-螺旋，β-链和卷曲）二级结构预测准确率为82.0%，而溶剂可及性预测准确率已提高到90%，对于可及性<5%的残基。结果报告在网站上以及通过可选的电子邮件摘要和批量提交结果得到增强。预测现在以SVG格式呈现，并带有查看完整多序列比对的选项，有或没有缺口和插入。最后，帮助页面已经更新，并添加了工具提示以及分步教程。
JPred4 (http://www.compbio.dundee.ac.uk/jpred4) is the latest version of the popular JPred protein secondary structure prediction server which provides predictions by the JNet algorithm, one of the most accurate methods for secondary structure prediction. In addition to protein secondary structure, JPred also makes predictions of solvent accessibility and coiled-coil regions. The JPred service runs up to 94 000 jobs per month and has carried out over 1.5 million predictions in total for users in 179 countries. The JPred4 web server has been re-implemented in the Bootstrap framework and JavaScript to improve its design, usability and accessibility from mobile devices. JPred4 features higher accuracy, with a blind three-state (α-helix, β-strand and coil) secondary structure prediction accuracy of 82.0% while solvent accessibility prediction accuracy has been raised to 90% for residues <5% accessible. Reporting of results is enhanced both on the website and through the optional email summaries and batch submission results. Predictions are now presented in SVG format with options to view full multiple sequence alignments with and without gaps and insertions. Finally, the help-pages have been updated and tool-tips added as well as step-by-step tutorials.
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影响因子：
14.9
作者：
Cole C;Barber JD;Barton GJ
通讯作者：
Barton GJ
影响因子：
5.8
作者：
Pollastri, G;McLysaght, A
通讯作者：
McLysaght, A
影响因子：
64.5
作者：
Hopf TA;Colwell LJ;Sheridan R;Rost B;Sander C;Marks DS
通讯作者：
Marks DS
影响因子：
14.9
作者：
Gutmanas A;Alhroub Y;Battle GM;Berrisford JM;Bochet E;Conroy MJ;Dana JM;Fernandez Montecelo MA;van Ginkel G;Gore SP;Haslam P;Hatherley R;Hendrickx PM;Hirshberg M;Lagerstedt I;Mir S;Mukhopadhyay A;Oldfield TJ;Patwardhan A;Rinaldi L;Sahni G;Sanz-García E;Sen S;Slowley RA;Velankar S;Wainwright ME;Kleywegt GJ
通讯作者：
Kleywegt GJ
影响因子：
5.8
作者：
Chen, L;Oughtred, R;Westbrook, J
通讯作者：
Westbrook, J